TY  - JOUR
A1  - Vucic, Emily A.
A1  - Thu, Kelsie L.
A1  - Robison, Keith
A1  - Rybaczyk, Leszek A.
A1  - Chari, Raj
A1  - Alvarez, Carlos E.
A1  - Lam, Wan L.
T1  - Translating cancer ‘omics’ to improved outcomes
Y1  - 2012/02/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 188 
EP  - 195 
DO  - 10.1101/gr.124354.111 
VL  - 22 
IS  - 2 
UR  - http://genome.cshlp.org/content/22/2/188.abstract 
N2  - The genomics era has yielded great advances in the understanding of cancer biology. At the same time, the immense complexity of the cancer genome has been revealed, as well as a striking heterogeneity at the whole-genome (or omics) level that exists between even histologically similar tumors. The vast accrual and public availability of multi-omics databases with associated clinical annotation including tumor histology, patient response, and outcome are a rich resource that has the potential to lead to rapid translation of high-throughput omics to improved overall survival. We focus on the unique advantages of a multidimensional approach to genomic analysis in this new high-throughput omics age and discuss the implications of the changing cancer demographic to translational omics research. 
ER  -